Matrix rank
The rank of a matrix is the dimension of its column space, equal to the number of pivots.
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01Rank is the dimension of a matrix’s column space#
Rank is the dimension of a matrix’s column space. Each pivot column contributes one basis vector, so rank equals the number of pivots.
This matrix is in echelon form. The leading entries are in columns 1 and 3. There are two pivots, so its rank is 2.
Find the rank of A.
Show answer and explanation
Elimination leaves 1 pivot.
02For A with rows (1,2) and (2,4), subtract twice row 1 from row 2#
For A with rows (1,2) and (2,4), subtract twice row 1 from row 2. The second row becomes zero. Four nonzero entries in the original matrix produce only one pivot.
A learner counts entries and says rank 4. Correct it.
Show answer and explanation
Elimination leaves 2 pivots.
03For a map y=Ax, the column space is the set of attainable outputs#
For a map y=Ax, the column space is the set of attainable outputs. If A has two pivots, those outputs form a two-dimensional subspace, even when each output has more than two entries.
For y=Ax, find the dimension of attainable outputs.
Show answer and explanation
Elimination leaves 2 pivots.
Count pivot positions after elimination. Rank measures the dimension of the matrix’s attainable outputs.
- Determine matrix rank from its pivots.
Sources & further reading
- [1]Interactive Linear Algebra, section 2.9: The Rank Theorem ↗Georgia Tech · Article